This book constitutes the refereed proceedings of the 14th International Conference on ICT Innovations 2022. Reshaping the Future Towards a New Normal, ICT Innovations 2022, held in Skopje, Macedonia, during September 29-October 1, 2022.
The 14 full papers and 1 short papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: theoretical foundations and distributed computing; artificial intelligence and deep learning; applied artificial intelligence; education; and medical informatics.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
56
16 s/w Abbildungen, 56 farbige Abbildungen
XXIV, 205 p. 72 illus., 56 illus. in color.
ISBN-13
978-3-031-22792-9 (9783031227929)
DOI
10.1007/978-3-031-22792-9
Schweitzer Klassifikation
The New Normal: Innovative Informal Digital Learning after the Pandemic.-
Theoretical foundations and distributed computing
.- StegIm: Image in Image Steganography.- A Property of an Error-Detecting Code Based on Quasigroups.- Multi-access edge computing smart relocation approach from an NFV perspective.-
Artificial intelligence and deep learning
.- MACEDONIZER - The Macedonian Transformer Language Model.- Deep learning-based sentiment classification of social network texts in Amharic language.- Using centrality measures to extract knowledge from cryptocurrencies' interdependencies networks.-
Applied artificial intelligence
.- Evaluating micro frontend approaches for code reusability.- Combining Static and Dynamic Features to Improve Longitudinal Image Retrieval for Alzheimer's Disease.- Architecture for collecting and analysing data from sensor devices.-
Education
.- Adapting a Web 2.0-basedCourse to a Fully Online Course and Readapting it Back for Face-to-Face Use.- Challenges and opportunities for women studying STEM.-
Medical informatics
.- Novel Methodology for Improving the Generalization Capability of Chemo-Informatics Deep Learning Models.- An exploration of Autism Spectrum Disorder classification from structural and functional MRI images.- Detection of High Noise Levels in Electrocardiograms.
